Technology is a key enabler of a master data management (MDM) program. MDM processes discover, acquire, integrate, transform, protect, preserve, and move master data. To support these processes, technology tools must include a wide range of features and functions. Selecting the right tools for your MDM program requires an understanding of the capabilities that should be addressed when evaluating options. This level of understanding is required whether you’re considering a build-your-own solution or purchasing vendor-provided tools. In this tutorial, we’ll deep-dive into technology-related requirements and capabilities for a holistic 360-degree approach to managing master data. Covered topics include:

Multi-domain support

Record matching and linking

MDM architecture styles

Data quality verification and reconciling

Master data governance technology

Master data metadata management technology

Master data industry exchanges

User interfaces

Globalization

Frank Cerwin is the president and managing principal of Data Mastery Inc., a firm focused on providing Master Data Management (MDM) strategy, planning, design, and education services to its clients. Data Mastery Inc. leverages their highly-acclaimed MDM framework and service operating model to establish long-term, sustainable MDM programs. Frank has over 35 years of leadership and architect experience at industry-leading Fortune 500 companies. His extensive technology experience spans MDM, customer analytics, database management, Enterprise Application Integration (EAI), application development, and security. Frank’s industry experience includes financial services, food services, manufacturing, insurance, telecommunications, and government. Frank is the producer and presenter of the online course “Mastering a Master Data Management Program” offered through Dataversity Training Center. He is a Six Sigma Green Belt and ITIL certified and has been a featured speaker at several national data conferences and regional data professional associations.